{
    "info": {
        "author": "Erick Fonseca",
        "author_email": "erickrfonseca@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Build Tools"
        ],
        "description": "Unitex Lemmatizer\n=================\n\nThis is a simple module for lemmatization based on the Unitex inflected word\nlist. As such, it needs a Unitex vocabulary file in order to work properly.\n\nSo far, I've only worked with Portuguese, with the\n`DELAF_PB file <http://www.nilc.icmc.usp.br/nilc/projects/unitex-pb/web/dicionarios.html>`_\nprovided by NILC.\n\nInstalling\n----------\n\nYou can either clone the repository and install with\n\n.. code-block:: bash\n\n    $ python setup.py install\n\nor install through pip\n\n.. code-block:: bash\n\n    $ pip install unitexlemmatizer\n\nUsage\n-----\n\nIn order to use the Unitex Lemmatizer, you need to tell it where the word list\nis:\n\n.. code-block:: python\n\n    >>> import unitexlemmatizer as ul\n    >>> ul.load_unitex_dictionary('/path/to/delaf.dic')\n\nThen, you can call the ``get_lemma`` function passing the inflected word and its\npart of speech tag (from the `Universal Dependencies <http://universaldependencies.org>`_\ntagset).\n\n.. code-block:: python\n\n    >>> ul.get_lemma('corpora', 'noun')\n    'corpus'",
        "description_content_type": null,
        "docs_url": null,
        "download_url": null,
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/erickrf/unitex-lemmatizer",
        "keywords": "nlp,lemmatizer",
        "license": "MIT",
        "maintainer": null,
        "maintainer_email": null,
        "name": "unitexlemmatizer",
        "package_url": "https://pypi.org/project/unitexlemmatizer/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/unitexlemmatizer/",
        "project_urls": {
            "Homepage": "https://github.com/erickrf/unitex-lemmatizer"
        },
        "release_url": "https://pypi.org/project/unitexlemmatizer/1.0.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "A simple lemmatizer based on Unitex word lists",
        "version": "1.0.0"
    },
    "last_serial": 2585506,
    "releases": {
        "1.0.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "4811bf793feb638b997305efa3654171",
                    "sha256": "5a7a4699e10a1b37efaac2e9404e8766c0e664c907bc1a89fcd37910756dac08"
                },
                "downloads": -1,
                "filename": "unitexlemmatizer-1.0.0-py2.7.egg",
                "has_sig": false,
                "md5_digest": "4811bf793feb638b997305efa3654171",
                "packagetype": "bdist_egg",
                "python_version": "2.7",
                "requires_python": null,
                "size": 5083,
                "upload_time": "2017-01-19T16:48:14",
                "url": "https://files.pythonhosted.org/packages/f9/ae/bee3a227b4c623abd36c2354909354783a0a413e9bc11c5421c00b1ae1e9/unitexlemmatizer-1.0.0-py2.7.egg"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "36a8f4d39f2d0b494158320ecb3faf6e",
                    "sha256": "a493635169a21456d66e7587a065ec86e0fb80b926516198077335a60fd38df3"
                },
                "downloads": -1,
                "filename": "unitexlemmatizer-1.0.0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "36a8f4d39f2d0b494158320ecb3faf6e",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 4899,
                "upload_time": "2017-01-19T16:48:13",
                "url": "https://files.pythonhosted.org/packages/1e/d6/39ad1bd2dce9bd0d90faa64373a2fee48e89fe03e95da9b7a04cded0339b/unitexlemmatizer-1.0.0-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "e2b5ef3622bf8939bf6a9a39ce385bb4",
                    "sha256": "6602ab1bdd8fd0946f6348718a6f6473814f81e8f77144e647dfee3645ff62a5"
                },
                "downloads": -1,
                "filename": "unitexlemmatizer-1.0.0.tar.gz",
                "has_sig": false,
                "md5_digest": "e2b5ef3622bf8939bf6a9a39ce385bb4",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2971,
                "upload_time": "2017-01-19T16:48:15",
                "url": "https://files.pythonhosted.org/packages/f5/7b/61b0192d541ccb055603d75bf52021b9399a5cf4a2ef22f0b09a34bbc208/unitexlemmatizer-1.0.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "4811bf793feb638b997305efa3654171",
                "sha256": "5a7a4699e10a1b37efaac2e9404e8766c0e664c907bc1a89fcd37910756dac08"
            },
            "downloads": -1,
            "filename": "unitexlemmatizer-1.0.0-py2.7.egg",
            "has_sig": false,
            "md5_digest": "4811bf793feb638b997305efa3654171",
            "packagetype": "bdist_egg",
            "python_version": "2.7",
            "requires_python": null,
            "size": 5083,
            "upload_time": "2017-01-19T16:48:14",
            "url": "https://files.pythonhosted.org/packages/f9/ae/bee3a227b4c623abd36c2354909354783a0a413e9bc11c5421c00b1ae1e9/unitexlemmatizer-1.0.0-py2.7.egg"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "36a8f4d39f2d0b494158320ecb3faf6e",
                "sha256": "a493635169a21456d66e7587a065ec86e0fb80b926516198077335a60fd38df3"
            },
            "downloads": -1,
            "filename": "unitexlemmatizer-1.0.0-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "36a8f4d39f2d0b494158320ecb3faf6e",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 4899,
            "upload_time": "2017-01-19T16:48:13",
            "url": "https://files.pythonhosted.org/packages/1e/d6/39ad1bd2dce9bd0d90faa64373a2fee48e89fe03e95da9b7a04cded0339b/unitexlemmatizer-1.0.0-py2.py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "e2b5ef3622bf8939bf6a9a39ce385bb4",
                "sha256": "6602ab1bdd8fd0946f6348718a6f6473814f81e8f77144e647dfee3645ff62a5"
            },
            "downloads": -1,
            "filename": "unitexlemmatizer-1.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "e2b5ef3622bf8939bf6a9a39ce385bb4",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2971,
            "upload_time": "2017-01-19T16:48:15",
            "url": "https://files.pythonhosted.org/packages/f5/7b/61b0192d541ccb055603d75bf52021b9399a5cf4a2ef22f0b09a34bbc208/unitexlemmatizer-1.0.0.tar.gz"
        }
    ]
}